Skip to content
SearchContact UsDirectionsHome
Whitehead Institute for Biomedical Research
About WhiteheadFaculty and ResearchResearch NewsPublic ProgramsCareer OpportunitiesSupport Whitehead
Research News
Search News Archives

On Topic

Paradigm Magazine

Discovery Newsletter

Fact Sheets

Video Gallery

Podcast

For the News Media

Sign Up for News

About Paradigm

Published twice a year, Paradigm magazine reports on life sciences research at Whitehead Institute and beyond, exploring science and its role in the social, scientific and political world around us.







Electronic archives

Fall 2007
Spring 2007
Fall 2006

PDFs of issues

Fall 2007 (5.0 MB)
Spring 2007 (2.1 MB)
Fall 2006 (2.1 MB)
Spring 2006 (5.8 MB)
Fall 2005 (2.2 MB)
Spring 2005 (1.8 MB)
Fall 2004 (1.6 MB)
Spring 2004 (1.1 MB)
Winter 2003 (3 MB)

whitehead home > research news > paradigm > fall 2006 > the new age of bioimaging > faces of mitosis
Fall 2006 Contents

The new age of bioimaging — Page 2 of 7  < Back   Next >

Faces of mitosis

Interest in facial recognition software increased in recent years. Computers can “recognize” individuals’ faces, as they can identify individuals’ fingerprints. Postdoctoral researcher Jason Moffat of David Sabatini’s lab employs similar technology to identify genes that could be involved in mitosis (cell division).

“In Jason’s experiment, programs sorted pictures or ‘portraits’ of cells by examining ‘features’ such as cell shape and DNA distribution,” says Sabatini.

“The literature on mitosis in mammals is still murky,” says Moffat. “We’re fairly confident that other labs will eventually confirm the role of these genes.”

Jason Moffat

Moffat wanted to apply image-analysis techniques to identify genes required for cell growth and division. He also wanted to show scientists how to use a new tool developed by a team at Whitehead and the Broad Institute. The collaborators manufactured special viruses, designing them to infect cells and silence specific human and mouse genes. The team built thousands of unique viruses, and Moffat decided to use the resulting library to perform a massive gene-knockout experiment.

After weighing several potential projects, he chose to focus on mitosis. He planned to screen more than 1,000 human genes to determine which ones play a role in the cell division process. Scientists had already identified some of the genes involved, giving him a basis for comparison.

Next, Moffat turned to a Cellomics ArrayScan automated fluorescence microscopic-imaging system designed for high-content screening. He prepared hundreds of plates, placing human cells in thousands of wells. Each well received a different virus. After waiting for the vectors to work, the microscope took pictures of each well.

But what did those pictures tell Moffat about cell division?

After allowing the viruses to knock down their intended target genes, he added fluorescent labels for three components of the cells—DNA, actin (to outline the cell shape) and a structural protein that is detectably modified throughout mitosis. Thus the pictures allowed him to flag cells with abnormal mitotic activity. He relied on two software packages, one being the CellProfiler created by Anne Carpenter, to expedite the flagging process. The programs analyzed the visual properties of each cell, comparing them to the properties of a “normal” cell.

The project implicated dozens of genes in mitosis, though previous studies confirm only a handful of those links. Cell published the results in March.

“The literature on mitosis in mammals is still murky,” says Moffat. “We’re fairly confident that other labs will eventually confirm the role of these genes.”

CONTINUED  1  2  3  4  5  6  7  Next >


Written by Alyssa Kneller

labeled cells
Human colon cancer cells
Whitehead Postdoc Jason Moffat silenced particular genes in human colon cancer cells and then fluorescently labeled several components of the cells to expose cell division problems. In the two images above, he labeled DNA blue, actin red (to outline the cell shape), and a structural protein that is detectably modified through mitosis green.
 [view additional images]

Images: Jason Moffat


Contact Webmaster